OpenAI is planning to bring over more researchers from Thinking Machines Lab after nabbing two cofounders, a source familiar with the situation says. If someone ever makes an HBO Max series about the AI industry, the events of this week will make quite the episode. On Wednesday, OpenAI's CEO of applications, Fidji Simo, announced the company had rehired Barret Zoph and Luke Metz, cofounders of Mira Murati's AI startup, Thinking Machines Lab. We reported last night on two narratives forming around what led to the departures, and have since learned new information. A source with direct knowledge says that Thinking Machines leadership believed Zoph engaged in an incident of serious misconduct while at the company last year.

Four ways to think about this year's reckoning When OpenAI released a free web app called ChatGPT in late 2022, it changed the course of an entire industry--and several world economies. Millions of people started talking to their computers, and their computers started talking back. We were enchanted, and we expected more. Technology companies scrambled to stay ahead, putting out rival products that outdid one another with each new release: voice, images, video. With nonstop one-upmanship, AI companies have presented each new product drop as a major breakthrough, reinforcing a widespread faith that this technology would just keep getting better. Boosters told us that progress was exponential.

Check Out Highlights From WIRED's Big Interview Event On December 4, WIRED sat down with some of the biggest names in tech, culture, business, and science for a day full of in-depth interviews. In 2024, we brought those talks to a stage in San Francisco for the very first time. This year, we did it again, bringing together AMD CEO Lisa Su, director Jon M. Chu, Anthropic cofounder Daniela Amodei, Cloudflare CEO Matthew Prince, and many more. The Big Interview, a one-day, in-person event held at The Midway in San Francisco on December 4, featured a series of in-depth, illuminating Q&As with some of the biggest names in innovation today, each led by a WIRED journalist. We also hosted our take on a modern-day science fair, complete with hands-on demos and other fun experiences.

Thousands of entrepreneurs are trying to rebuild the economy around AI. I set out to see how they're actually doing it. Earth, it's said, is home to more than 10,000 AI startups. The figure is a guess, of course--startups come, startups go. But last year, more than 2,000 of them got their first round of funding. As investors shovel their billions into AI, it's worth asking: What are all these creatures of the boom doing? I decided to approach as many recent AI founders as I could. The goal was not to try to pick winners but to see what it's like, on the ground, to build AI products--how AI tools have changed the nature of their work; how terrifying it is to compete in a crowded field.

Elon Musk last week sued two of his OpenAI cofounders, Sam Altman and Greg Brockman, accusing them of "flagrant breaches" of the trio's original agreement that the company would develop artificial intelligence openly and without chasing profits. Late on Tuesday, OpenAI released partially redacted emails between Musk, Altman, Brockman, and others that provide a counternarrative. The emails suggest that Musk was open to OpenAI becoming more profit-focused relatively early on, potentially undermining his own claim that it deviated from its original mission. In one message Musk offers to fold OpenAI into his electric-car company Tesla to provide more resources, an idea originally suggested by an email he forwarded from an unnamed outside party. The newly published emails also imply that Musk was not dogmatic about OpenAI having to freely provide its developments to all.

I might have inadvertently insulted Bret Taylor and Clay Bavor when I interviewed them about their new AI startup last week. Their new company, Sierra, is developing AI-powered agents to "elevate the customer experience" for big companies. Among its original customers are WeightWatchers, Sonos, SiriusXM, and OluKai (a "Hawaiian-inspired" clothing company). Sierra's eventual market is any company that communicates with its customers, which is a pretty big opportunity. Their plan strikes me as a validation of the widely voiced prediction that 2024 will be the year when the AI models that have bended our minds for the past year will turn into real products.

Suleyman has had an unshaken faith in technology as a force for good at least since we first spoke in early 2016. He had just launched DeepMind Health and set up research collaborations with some of the UK's state-run regional health-care providers. The magazine I worked for at the time was about to publish an article claiming that DeepMind had failed to comply with data protection regulations when accessing records from some 1.6 million patients to set up those collaborations--a claim later backed up by a government investigation. Suleyman couldn't see why we would publish a story that was hostile to his company's efforts to improve health care. As long as he could remember, he told me at the time, he'd only wanted to do good in the world.

A year ago, the idea of holding a meaningful conversation with a computer was the stuff of science fiction. But since OpenAI's ChatGPT launched last November, life has started to feel more like a techno-thriller with a fast-moving plot. Chatbots and other generative AI tools are beginning to profoundly change how people live and work. But whether this plot turns out to be uplifting or dystopian will depend on who helps write it. Thankfully, just as artificial intelligence is evolving, so is the cast of people who are building and studying it.

Eight years ago, the Pentagon's Defense Advanced Research Projects Agency organized a painful-to-watch contest that involved robots slowly struggling (and often failing) to perform a series of human tasks, including opening doors, operating power tools, and driving golf carts. Clips of them fumbling and stumbling through the Darpa Robotics Challenge soon went viral. Today the descendants of those hapless robots are a lot more capable and graceful. Several startups are developing humanoids that they claim could, in just a few years, find employment in warehouses and factories. Jerry Pratt, a senior research scientist at the Institute for Human and Machine Cognition, a nonprofit research institute in Florida, led a team that came second in the Darpa challenge back in 2015.

IN2018, ON A TRIP to his ancestral homeland, Alexandr Wang listened as China's brightest engineers gave impressive presentations on artificial intelligence. He found it odd that the researchers conspicuously avoided any mention of how AI might be used. Wang, whose immigrant parents were nuclear physicists at Los Alamos National Laboratory, where the first atomic bombs were designed, was unsettled. "They were really dodgy on what the use cases were. You could tell it was for no good," recalls Wang, the cofounder of Scale AI, who has no second "e" in his first name so that it has eight characters, a number associated with good fortune in Chinese culture. Scale was then an up-and-coming startup providing data services primarily to self-driving auto-makers.